Yunhao (Andy) Ge

葛云皓

CS Ph.D. Candidate @ University of Southern California

Student Researcher @ Google Research

Amazon Fellow with Amazon ML Fellowship (2022-2023)

Email: yunhaoge at usc dot edu

    [About Me] [News & Updates] [Publications] [Experience]


About Me

                                                           

I am a Ph.D. Candidate in the CS Department at University of Southern California (USC), under the supervision of Prof. Laurent Itti. I'm interested in Machine Learning, Computer vision, and their applications towards Human-centric / Humanoid AI and Data-centric AI. My current research focuses include:

I'm also currently a student researcher at Google Research working with Dr. Jiaping Zhao , Dr. Jie Ren , Dr. Balaji Lakshminarayanan and Prof. Ming-Hsuan Yang. I also work closely with Dr. Ziyan Wu ( UII America ) and Dr. Vibhav Vineet ( Microsoft Research ). Previously, I was a student researcher at Google Cloud AI working with Dr. Sercan Arik and Dr. Jinsung Yoon ; a research intern at Microsoft Research working with Dr. Vibhav Vineet and and Dr. Neel Joshi ; and a research intern at UII America working with Dr. Ziyan Wu and Dr. Srikrishna Karanam .
Before that, I got my M.Sc. degree at Robotics Institute at Shanghai Jiao Tong University, and B.Eng. degree of Mechatronics at Shandong University. I have been lucky to work with Prof. Dinggang Shen and Dr. Shu Liao during my internship at United Imaging Intelligence, as well as Prof. Cewu Lu and Dr. Shuyun Chong when I was a Computer Vision Engineer at Flexiv Robotics.

Research opportunities: I am happy to collaborate and/or answer questions about my research. If you are interested, please send me an email. I especially encourage USC master students who want to involve exciting projects targeting top-tier conferences/journals to reach out.


News & Updates


Preprints

    
DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection

Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet
arXiv:2206.09592, 2022.

[paper]

Invariant Structure Learning for Better Generalization and Causal Explainability

Yunhao Ge, Sercan Ö. Arik, Jinsung Yoon, Ao Xu, Laurent Itti and Tomas Pfister
arXiv:2206.06469, 2022.

[paper]

Selected Publications [Google Scholar]

                            
Neural-Sim: Learning to Generate Training Data with NeRF

Yunhao Ge, Harkirat Behl*, Jiashu Xu*, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, and Vibhav Vineet (*=equal contribution as second author)
ECCV 2022 (European Conference on Computer Vision ).

[paper] [code]

Contributions of Shape, Texture, and Color in Visual Recognition

Yunhao Ge*, Yao Xiao*, Zhi Xu, Xingrui Wang, Laurent Itti (*=equal contribution)
ECCV 2022 (European Conference on Computer Vision ).

[paper] [code]

A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts

Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti and Ziyan Wu
CVPR 2021 (IEEE/ CVF International Conference on Computer Vision and Pattern Recognition ).

[paper] [github] [website] [video] [知乎] [机器之心] [AI科技评论]

Zero-shot Synthesis with Group-Supervised Learning

Yunhao Ge, Sami Abu-El-Haija, Gan Xin and Laurent Itti
ICLR 2021 (International Conference on Learning Representations).

[paper] [code] [website] [Fonts Dataset] [USC Viterbi Press] [知乎] [AI科技评论]
[ USC News ] [ Tech Xplore ] [ Technology Networks ]

Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization

Yunhao Ge, Zhi Xu, Yao Xiao, Gan Xin, Yunkui Pang and Laurent Itti
WACV 2023 (IEEE/CVF Winter Conference on Applications of Computer Vision).

[paper]

Graph Autoencoder for Graph Compression and Representation Learning

Yunhao Ge*, Yunkui Pang*, Linwei Li and Laurent Itti (*=equal contribution)
ICLR 2021 Workshop (Neural Compression: From Information Theory to Applications--Workshop@ ).

[paper] [code] [Img2SceneGraph]

Spotlight Presentation

Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition

Yunhao Ge, Jiaping Zhao, Laurent Itti
ECCV 2020 (European Conference on Computer Vision).

[paper] [github] [video-1min] [video-10min]

Beneficial Perturbation Network for designing general adaptive artificial intelligence systems

Shixian Wen, Amanda Rios*, Yunhao Ge* and Laurent Itti (*=equal contribution as second author)
TNNLS 2021 ( IEEE Transactions on Neural Networks and Learning Systems ).

[paper]

Unpaired MR to CT Synthesis with Explicit Structural Constrained Adversarial Learning

Yunhao Ge*, Dongming Wei*, Zhong Xue, Yiqiang Zhan, Xiang Zhou, Qian Wang and Shu Liao (*=equal contribution)
ISBI 2019 (IEEE International Symposium on Biomedical Imaging).

[paper] [code]

Synthesis and inpainting-based MR-CT registration for image-guided thermal ablation of liver tumors

Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang
MICCAI 2019 (International Conference on Medical Image Computing and Computer-Assisted Intervention).

[paper]

Unpaired Whole-body MR to CT Synthesis with Correlation Coefficient Constrained Adversarial Learning

Yunhao Ge, Zhong Xue, Yiqiang Zhan, Xiang Zhou and Shu Liao
SPIE 2019 (SPIE-Medical Imaging).

[paper] [code]

Oral Presentation


Intern & Work Experience

Google Research, Los Angeles, USA (May. 2022 - current)

Google Cloud AI, Mountain View, USA (Aug. 2021 - May 2022)

Microsoft Research, Redmond, USA (May. 2021 - Aug. 2021)

UII America, Inc, Boston, USA (May. 2020 - Aug. 2020)

Flexiv Ltd, Shanghai, China (May. 2019 - Aug. 2019)

United Imaging Intelligence Co., Ltd, Shanghai, China (Jun. 2018 - Apr. 2019)


Scholarships


Honors and Awards


Academic Service

Reviewer of the following conferences/journals:

NeurIPS 2022, 2021
CVPR 2022
ICLR 2022
ICML 2022
WACV 2023
IEEE Transactions on Medical Imaging (TMI)
IEEE Access
Applied Optics

Software & Patents

Systems and methods for image processing
S Liao, GE Yunhao, WEI Dongming
US Patent App. 16/729,303.

Pulmonary Nodular Assisted Detection System Based on AI(V1.0)
Bin Li, Yunhao Ge
2018SR037095.

A Two-Layer Barrier Free Parking Equipment Based on Bionic Manipulator
Yunhao Ge, Shangze Yang, Zheng Zhang, Weixin Yan and Yanzheng Zhao
CN201610712048.

A Double Decker Parking Equipment based on Shear Lifting Mechanism and Hydraulic Mechanism
Yunhao Ge, Xulong Zhou, Peng Liu and Yanzheng Zhao
CN201610704408.



Last update: Aug. 21, 2022